Literature DB >> 26463436

Incidence of epithelial ovarian cancer according to histologic subtypes in Korea, 1999 to 2012.

Se Ik Kim1, Myong Cheol Lim2,3,4, Jiwon Lim5, Young Joo Won4,5, Sang Soo Seo2, Sokbom Kang2,3,4, Sang Yoon Park2,6.   

Abstract

OBJECTIVE: To investigate trends in the incidence of epithelial ovarian cancer (EOC), according to histologic subtypes, in Korean women between 1999 and 2012.
METHODS: Data from the Korea Central Cancer Registry recorded between 1999 and 2012 were evaluated. The incidences of EOC histologic subtypes were counted. Age-standardized incidence rates (ASRs) and annual percentage changes (APCs) in incidence rates were calculated. Patient data were divided into three groups based on age (<40, 40 to 59, and >59 years), and age-specific incidence rates were compared.
RESULTS: Overall, the incidence of EOC has increased. Annual EOC cases increased from 922 in 1999 to 1,775 in 2012. In 1999, the ASR was 3.52 per 100,000 and increased to 4.79 per 100,000 in 2012 (APC, 2.53%; p<0.001). The ASRs in 2012 and APCs between 1999 and 2012 for the four major histologic subtypes were as follows (in order of incidence): serous carcinoma (ASR, 2.32 per 100,000; APC, 4.34%; p<0.001), mucinous carcinoma (ASR, 0.73 per 100,000; APC, -1.05%; p=0.131), endometrioid carcinoma (ASR, 0.51 per 100,000; APC, 1.48%; p=0.032), and clear cell carcinoma (ASR, 0.50 per 100,000; APC, 8.13%; p<0.001). In the sub-analyses based on age, clear cell carcinoma was confirmed as the histologic subtype whose incidence had increased the most since 1999.
CONCLUSION: The incidence of EOC is increasing in Korea. Among the histologic subtypes, the incidence of clear cell carcinoma has increased markedly across all age groups since 1999.

Entities:  

Keywords:  Histologic Subtype; Incidence; Ovarian Neoplasms; Time Trends

Mesh:

Year:  2015        PMID: 26463436      PMCID: PMC4695455          DOI: 10.3802/jgo.2016.27.e5

Source DB:  PubMed          Journal:  J Gynecol Oncol        ISSN: 2005-0380            Impact factor:   4.401


INTRODUCTION

In Korea, the incidence of ovarian cancer has been increasing gradually and was estimated to comprise 1.7% (2,374) of all newly diagnosed female cancers during 2015 [12]. Among gynecologic malignancies, ovarian cancer has the poorest survival rate owing to a lack of initial symptoms and effective screening tools, which results in relatively more advanced stage at diagnosis, and higher recurrence rates after treatment [1]. Moreover, it exhibits significant histologic heterogeneity and a wide variety of histologic features. The majority of ovarian cancers are epithelial ovarian cancers (EOCs; 90%) that are further grouped into different histologic subtypes [3]. Histologic subtype is a well-established prognostic factor in EOC [456]. Unlike serous carcinomas, most endometrioid carcinomas are identified at an early stage and tend to be relatively chemo-sensitive, consequently contributing to a better prognosis compared with other subtypes [789]. Clear cell carcinoma also presents at an early stage and has a relatively good prognosis. However, advanced stage clear cell carcinoma of ovary has a worse prognosis compared with serous or endometrioid carcinomas because it is less sensitive to platinum-based chemotherapy [1011]. Both endometrioid and clear cell carcinomas are associated with endometriosis, which is a common benign disease in women of reproductive age. Endometriosis is a known precursor of endometrioid and clear cell carcinomas, although the molecular mechanisms underlying the malignant transformation have not been elucidated fully [1213]. Although the prognosis and underlying carcinogenesis for EOC histologic subtypes are different, the current management strategies are the same. Extensive cytoreductive surgery and platinum-based adjuvant chemotherapy are commonly recommended for maximal survival [14151617]. Consideration of histologic subtypes is necessary to devise individualized treatment plans for patients with EOC. Knowing the exact distribution of each histologic subtype would be the initial step in facilitating such treatment plans; however, to our knowledge, the distribution in Korean women has not yet been evaluated. Thus, this study aimed to investigate trends in the incidence of EOC, according to histologic subtypes, in Korean women between 1999 and 2012. This nation-wide database analysis was conducted through exploration of the Korea Central Cancer Registry (KCCR).

MATERIALS AND METHODS

1. Study design

This study was conducted as a subgroup analysis of the previously published study which reported nationwide cancer statistics in Korea [2]. In that study, incidence data between 1999 and 2012 had been obtained from the KCCR. For the current study, the data of primary EOCs and each histologic subtype during the same period were extracted and analyzed. Age-standardized incidence rates (ASRs) and annual percentage changes (APCs) in incidence rates were calculated. Patient data were divided into three groups based on age (<40, 40 to 59, and >59 years), and age-specific incidence rates were compared.

2. The Korea Central Cancer Registry

Historically, the KCCR began as a nation-wide, hospital-based cancer registry, set up by the Ministry of Health and Welfare in 1980. In 1999, the registry was expanded to cover the entire population [18]. Accurate nation-wide cancer incidence data is provided by the KCCR, named as the Korea National Cancer Incidence Database.

3. Classification of histologic subtypes

Based on the International Classification of Diseases for Oncology, 3rd edition (ICD-O-3), data from women diagnosed with primary cancer of the ovary (C56) were retrieved. And those were converted according to the International Classification of Disease, 10th revision (ICD-10) [19]. Among them, only the data from those with EOCs including serous carcinoma, mucinous carcinoma, endometrioid carcinoma, clear cell carcinoma, adenocarcinoma not otherwise specified, other specified carcinoma, and unspecified carcinoma were analyzed. Non-EOCs such as sex-cord stromal tumors and germ cell tumors were excluded. Mixed cell adenocarcinomas consisting of different histologic subtypes were also excluded.

4. Statistical analyses

The ASRs were calculated using Segi’s world standard population [20]. For the estimation of trends in incidence rates for all EOCs and individual histologic subtypes, APCs were calculated as follows: [exp(β)-1]×100, and the regression coefficient (β) was obtained by a linear regression of log-transformed ASRs in a calendar year. Testing the hypothesis that the APC is equal to zero is equivalent to the hypothesis that the slope of the line in the equation is equal to zero. Statistical analyses were performed to test the trend. SAS 9.3 statistical software (SAS Institute Inc., Cary, NC, USA) was used for all calculations and a p<0.05 was considered statistically significant.

RESULTS

Overall, the number of newly diagnosed EOC cases between 1999 and 2012 has increased continuously: annual EOC cases increased from 922 in 1999 to 1,775 in 2012 (Table 1).
Table 1

Age-standardized incidence rates per 100,000 and annual percent changes (%) of epithelial ovarian cancer

Histologic subtype19992000200120022003200420052006200720082009201020112012APCp-value
All ovarian cancer
 ASR5.04.84.85.05.15.25.45.45.95.65.45.95.86.01.7
Epithelial ovarian cancer
 Case9229449491,0131,0911,1361,2111,2821,4571,4301,4391,5881,5971,775
 ASR3.523.483.423.543.773.773.924.034.474.224.124.544.444.792.53<0.001
Serous carcinoma
 Case406351378432516538582623713727734826819878
 ASR1.571.331.381.531.791.801.901.972.182.142.112.332.262.324.34<0.001
Mucinous carcinoma
 Case193228206198231205214200238176204213233247
 ASR0.710.820.750.690.800.700.720.650.770.550.620.670.700.73-1.050.131
Endometrioid carcinoma
 Case10010696120111110114139133152133157138184
 ASR0.380.390.340.420.380.360.360.430.400.450.380.450.380.511.480.032
Clear cell carcinoma
 Case42626869796585104111132142159165182
 ASR0.160.230.230.240.270.220.270.320.330.390.410.450.460.508.13<0.001

Adapted from Jung et al. [2].

ASR, age-standardized incidence rate.

Adapted from Jung et al. [2]. ASR, age-standardized incidence rate. The ASRs and APCs for all EOCs and histologic subtypes are presented in Table 1, Fig. 1. The ASR for all EOCs has increased between 1999 and 2012, producing a significant APC over this period (2.53%; p<0.001). In 2012, the four most common histologic subtypes were serous, mucinous, endometrioid, and clear cell carcinoma.
Fig. 1

Age-standardized incidence rates (ASRs) per 100,000 of epithelial ovarian cancer in Korea between 1999 and 2012.

Among the four major histologic subtypes, the incidence of mucinous carcinoma alone decreased between 1999 and 2012, although the APC was not significant (–1.05%; p=0.131). By contrast, the incidences of serous carcinoma (APC, 4.34%; p<0.001) and endometrioid carcinoma (APC, 1.48%; p=0.032) increased significantly. During the same period, the incidence of clear cell carcinoma increased the most with statistical significance (APC; 8.13%, p<0.001). Table 2, Fig. 2 show the ASRs and APCs for all EOCs and the four major histologic subtypes stratified according to age. Between 1999 and 2012, the incidence of EOCs increased significantly across all three age groups; the APCs were 1.87% for the younger age group (<40 years; p=0.001), 2.48% for the middle age group (40 to 59 years; p<0.001), and 3.02% for the older age group (>59 years; p<0.001). A trend of increasing APCs was observed as age increased. Similar findings were noted in serous carcinoma type.
Table 2

Age-specific incidence rates per 100,000 and annual percent changes (%) of epithelial ovarian cancer

Histologic subtypeAge group (yr)
<4040-59>59
All epithelial ovarian cancer
 19990.611.861.04
 20050.682.051.19
 20120.742.551.49
 APC1.872.483.02
 p-value0.001<0.001<0.001
Serous carcinoma
 19990.200.890.48
 20050.151.110.64
 20120.171.300.85
 APC2.563.676.27
 p-value0.059<0.001<0.001
Mucinous carcinoma
 19990.280.280.15
 20050.340.250.13
 20120.250.320.15
 APC-1.370.02-2.74
 p-value0.2750.9790.010
Endometrioid carcinoma
 19990.050.240.09
 20050.070.220.07
 20120.090.320.10
 APC3.141.290.66
 p-value0.0070.1520.687
Clear cell carcinoma
 19990.030.130.00
 20050.060.180.02
 20120.100.310.08
 APC10.007.3913.08
 p-value0.001<0.0010.007

APC, annual percent changes.

Fig. 2

Annual percent changes (APCs, %) of epithelial ovarian cancer according to age groups between 1999 and 2012.

APC, annual percent changes. In mucinous carcinoma, the ASRs did not change significantly for the younger and middle age groups, whereas for the older age group, the incidence of mucinous carcinoma decreased with a significant APC (–2.74%; p=0.010). In endometrioid carcinoma, the ASRs increased within the younger age group with a significant APC (3.14%; p=0.007). In clear cell carcinoma, the ASRs increased significantly across all age groups; the APCs were 10.00% for the younger age group (p=0.001), 7.39% for the middle age group (p<0.001), and 13.08% for the older age group (p=0.007). The age-specific incidence rates for all EOCs and the four major histologic subtypes in 2012 are shown in Fig. 3. While the incidence of serous carcinoma was highest among patients in their early 60s, that of endometrioid carcinoma reached its peak among patients in their late 40s. The incidence of clear cell carcinoma was highest among patients with late 50s, and decreased thereafter.
Fig. 3

Age-specific incidence rates of epithelial ovarian cancer for 2012 in Korea.

DISCUSSION

In this study, a gradual increase in the incidences of EOCs was observed between 1999 and 2012. In Korea, the age-adjusted incidence rate of ovarian cancer is known to be much lower than that in Western countries. However, recent studies have reported that the incidence of ovarian cancers has been increasing continuously in Korea, and that this trend might be explained by the westernization of diet and life styles, as well as changes in sociodemographic factors [121]. Of the whole ovarian cancers, EOC is the most commonly identified (90%), and it is known to be affected by reproductive factors [3]. In 2012, the most common EOC histologic subtypes in Korean women were serous, mucinous, endometrioid, and clear cell carcinomas, representing 49.5%, 13.9%, 10.4%, and 10.3% of all EOC cases, respectively. Among the four major subtypes, we found statistically significant annual increases in serous, endometrioid, and clear cell carcinomas between 1999 and 2012. A similar trend was also observed in the study of another East Asian country, Taiwan [22]. However, in the current study, the incidence rate of mucinous carcinoma alone decreased between 1999 and 2012. There are a number of possible reasons for this decrease. First, recent advances have been made in the pathological diagnosis of ovarian mucinous carcinoma [23], suggesting that, before these advances, misdiagnoses of mucinous carcinoma could have led to overestimated incidence rates. For the precise distinctions between primary and metastatic ovarian mucinous carcinomas, pathologists began to utilize refined immunohistochemistry techniques. Prior to this, a substantial proportion of metastatic cases could have been misinterpreted as primary ovarian mucinous carcinomas [2425]. In addition, exclusion of borderline ovarian tumors, as well as pseudomyxoma peritonei, resulted in less common pure ovarian mucinous carcinoma cases than previously reported [26]. Second, influence of the reproductive factors on the development of EOCs might differ by histologic subtypes. Conditions suppressing ovulation, such as parity and oral contraceptive use, are known to have protective effects against EOC, more so for non-mucinous carcinomas compared with mucinous carcinomas [27282930]. In a case-control study, Soegaard et al. [29] reported that use of oral contraceptives was associated with a decreased risk of serous and endometrioid carcinomas, but not for mucinous carcinoma. Similarly, a meta-analysis of 45 epidemiological studies also concluded that the incidence of mucinous carcinoma was little affected by oral contraceptive use, whereas its protective effects against other subtypes were observed [30]. However, in Korean women, both the parity (total fertility rates per woman, 1.3 in 2013) and the prevalence of oral contraceptive use (percentage of women among those of reproductive age who are married or in union, 2.0% in 2009) are much lower than those in women from Western countries [3132]. Thus, combined protective effects of parity and oral contraceptive use might be reduced in Korean women, resulting in a relative increase in non-mucinous carcinomas. Third, according to cohort studies and meta-analysis, cigarette smoking is related with an increased risk of ovarian mucinous carcinoma, but is not associated with an increased risk of serous or endometrioid carcinomas [3334]. Korea has the lowest prevalence for female cigarette smoking among the Organization for Economic Co-operation and Development member countries (5.8% in 2012) [35], which might explain the relatively low incidence rate of mucinous carcinoma. In this study, the incidence rate of clear cell carcinoma between 1999 and 2012 increased markedly across all age ranges, which was consistent with the results of a study in Taiwanese women [22]. Interestingly, whereas clear cell carcinoma constitutes only a small portion of EOCs in Western country, it accounts for approximately 20% of EOCs in Japan, another East Asian country [36]. Causes for the marked increase in the clear cell carcinoma type in Korean women might be explained by endometriosis, a common gynecologic disorder that occurs in 5% to 10% of reproductive-age women. Women with endometriosis are predisposed to developing EOC, with the risk of clear cell carcinoma being 3-fold greater than that of the other histologic subtypes [121337]. In addition, endometriosis is associated with excessive estrogen exposure [38]. For the Korean women, westernization of diet and life styles has led to earlier menarche, increased obesity, and decreased childbearing [2139]. All these conditions are associated with an increased exposure to estrogen and might influence the prevalence of endometriosis, resulting in a consequential increase in ovarian clear cell carcinoma. As mentioned earlier, histologic subtype is a prognostic factor for the patients with EOC [456]. Although stage at diagnosis, sensitiveness to platinum-based chemotherapy, recurrence after treatment, and survival is known to be different among the types [78910111213], the current management strategies are the same [14151617]. However, efforts to devise specific treatments according to histologic subtypes of EOC have been made. A Japanese randomized controlled trial in patients with ovarian clear cell carcinoma (JGOG3017/GCIG) is the representative. In this trial, the efficacy of an irinotecan-cisplatin regimen was compared with a conventional paclitaxel-carboplatin regimen as a first line chemotherapy. Although the irinotecan-cisplatin regimen did not show a survival benefit, it was suggested as an alternative treatment choice for ovarian clear cell carcinoma because of the different toxicity profile [40]. Like this trial, further studies, which explore individualized treatment strategies for specific EOC histologic subtypes, are encouraged indeed. Up to our knowledge, the current study is the first to report the incidence rates of EOC according to histologic subtypes in Korea. Nevertheless, this study has several limitations. Patients' demographic characteristics, except age at diagnosis, were not obtained. Detailed information including cancer stage, treatment courses, and survival data were also not investigated. Whether the changes in pathological diagnostic criteria were reflected in the database was not clear. In addition, recent simplified classification systems that assign EOC into type I and type II, according to morphological, molecular, and clinical features, have not yet been employed in the database. Despite these limitations, secular trends in incidence rates of all EOCs and individual histologic subtypes were clearly demonstrated. In conclusion, the incidence of EOC increased continuously from 1999 to 2012 in Korea. Among the four major histologic subtypes, only the incidence of mucinous carcinoma has decreased; however, without significance. During the same period, ovarian clear cell carcinoma has remarkably increased in all ages. Identification of precursors and carcinogenesis courses for each histologic type are needed to understand its nature. By the efforts to reveal proper treatment methods and their impact on survival, more individualized treatment plans could be provided for the patients.
  34 in total

1.  Clear cell carcinoma of the ovary: a distinct histologic type with poor prognosis and resistance to platinum-based chemotherapy in stage III disease.

Authors:  B A Goff; R Sainz de la Cuesta; H G Muntz; D Fleischhacker; M Ek; L W Rice; N Nikrui; H K Tamimi; J M Cain; B E Greer; A F Fuller
Journal:  Gynecol Oncol       Date:  1996-03       Impact factor: 5.482

Review 2.  Does smoking increase risk of ovarian cancer? A systematic review.

Authors:  Susan J Jordan; David C Whiteman; David M Purdie; Adèle C Green; Penelope M Webb
Journal:  Gynecol Oncol       Date:  2006-09-26       Impact factor: 5.482

3.  Risk of developing ovarian cancer among women with ovarian endometrioma: a cohort study in Shizuoka, Japan.

Authors:  H Kobayashi; K Sumimoto; N Moniwa; M Imai; K Takakura; T Kuromaki; E Morioka; K Arisawa; T Terao
Journal:  Int J Gynecol Cancer       Date:  2007 Jan-Feb       Impact factor: 3.437

4.  Improved optimal cytoreduction rates for stages IIIC and IV epithelial ovarian, fallopian tube, and primary peritoneal cancer: a change in surgical approach.

Authors:  Dennis S Chi; Corinna C Franklin; Douglas A Levine; Faina Akselrod; Paul Sabbatini; William R Jarnagin; Ronald DeMatteo; Elizabeth A Poynor; Nadeem R Abu-Rustum; Richard R Barakat
Journal:  Gynecol Oncol       Date:  2004-09       Impact factor: 5.482

5.  Reproductive factors and epithelial ovarian cancer risk by histologic type: a multiethnic case-control study.

Authors:  Ko-Hui Tung; Marc T Goodman; Anna H Wu; Katharine McDuffie; Lynne R Wilkens; Laurence N Kolonel; Abraham M Y Nomura; Keith Y Terada; Michael E Carney; Leslie H Sobin
Journal:  Am J Epidemiol       Date:  2003-10-01       Impact factor: 4.897

6.  Endometrioid carcinoma of the ovary: a retrospective study.

Authors:  J Tidy; W P Mason
Journal:  Br J Obstet Gynaecol       Date:  1988-11

7.  Do clear cell ovarian carcinomas have poorer prognosis compared to other epithelial cell types? A study of 1411 clear cell ovarian cancers.

Authors:  John K Chan; Deanna Teoh; Jessica M Hu; Jacob Y Shin; Kathryn Osann; Daniel S Kapp
Journal:  Gynecol Oncol       Date:  2008-04-18       Impact factor: 5.482

8.  Different risk factor profiles for mucinous and nonmucinous ovarian cancer: results from the Danish MALOVA study.

Authors:  Marie Soegaard; Allan Jensen; Estrid Høgdall; Lise Christensen; Claus Høgdall; Jan Blaakaer; Susanne K Kjaer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-06       Impact factor: 4.254

9.  Influence of residual tumor on outcome in ovarian cancer patients with FIGO stage IV disease: an exploratory analysis of the AGO-OVAR (Arbeitsgemeinschaft Gynaekologische Onkologie Ovarian Cancer Study Group).

Authors:  Pauline Wimberger; Michael Wehling; Nils Lehmann; Rainer Kimmig; Barbara Schmalfeldt; Alexander Burges; Philipp Harter; Jacobus Pfisterer; Andreas du Bois
Journal:  Ann Surg Oncol       Date:  2010-02-18       Impact factor: 5.344

10.  Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007.

Authors:  Soo Lim; Hayley Shin; Jung Han Song; Soo Heon Kwak; Seon Mee Kang; Ji Won Yoon; Sung Hee Choi; Sung Il Cho; Kyong Soo Park; Hong Kyu Lee; Hak Chul Jang; Kwang Kon Koh
Journal:  Diabetes Care       Date:  2011-04-19       Impact factor: 19.112

View more
  18 in total

1.  Recent Trends in Ovarian Cancer Incidence and Relative Survival in the United States by Race/Ethnicity and Histologic Subtypes.

Authors:  Hyo K Park; Julie J Ruterbusch; Michele L Cote
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-27       Impact factor: 4.254

2.  Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.

Authors:  Dong Wook Shin; Jaeman Bae; Johyun Ha; Kyu-Won Jung
Journal:  Front Oncol       Date:  2021-04-28       Impact factor: 6.244

3.  Clinical outcomes of patients with clear cell and endometrioid ovarian cancer arising from endometriosis.

Authors:  E Sun Paik; Tae Joong Kim; Chel Hun Choi; Byoung Gie Kim; Duk Soo Bae; Jeong Won Lee
Journal:  J Gynecol Oncol       Date:  2017-12-11       Impact factor: 4.401

4.  Expression of Yes-associated protein 1 and its clinical significance in ovarian serous cystadenocarcinoma.

Authors:  Sang Yeon Cho; Kwanghun Kim; Min Soo Park; Mi Young Jang; Young Hwan Choi; Suyeon Han; Hyun Mo Shin; Chaeuk Chung; Hye Young Han; Jung Bo Yang; Young Bok Ko; Heon Jong Yoo
Journal:  Oncol Rep       Date:  2017-03-21       Impact factor: 3.906

5.  Survival outcomes after extensive cytoreductive surgery and selective neoadjuvant chemotherapy according to institutional criteria in bulky stage IIIC and IV epithelial ovarian cancer.

Authors:  Myong Cheol Lim; Heong Jong Yoo; Yong Jung Song; Sang Soo Seo; Sokbom Kang; Sun Ho Kim; Chong Woo Yoo; Sang Yoon Park
Journal:  J Gynecol Oncol       Date:  2017-07       Impact factor: 4.401

6.  Comparison of Clinical Outcomes of BRCA1/2 Pathologic Mutation, Variants of Unknown Significance, or Wild Type Epithelial Ovarian Cancer Patients.

Authors:  Kyung Jin Eoh; Hyung Seok Park; Ji Soo Park; Seung-Tae Lee; Jeongwoo Han; Jung-Yun Lee; Sang Wun Kim; Sunghoon Kim; Young Tae Kim; Eun Ji Nam
Journal:  Cancer Res Treat       Date:  2016-07-27       Impact factor: 4.679

7.  Changes in ovarian cancer survival during the 20 years before the era of targeted therapy.

Authors:  Jung-Yun Lee; Sunghoon Kim; Young Tae Kim; Myong Cheol Lim; Boram Lee; Kyu-Won Jung; Jae Weon Kim; Sang-Yoon Park; Young-Joo Won
Journal:  BMC Cancer       Date:  2018-05-29       Impact factor: 4.430

8.  Long-Term Survival Analysis of Intraperitoneal versus Intravenous Chemotherapy for Primary Ovarian Cancer and Comparison between Carboplatin- and Cisplatin-based Intraperitoneal Chemotherapy.

Authors:  Kyung Jin Eoh; Jung Yun Lee; Eun Ji Nam; Sunghoon Kim; Young Tae Kim; Sang Wun Kim
Journal:  J Korean Med Sci       Date:  2017-12       Impact factor: 2.153

9.  Outcomes of Non-High Grade Serous Carcinoma after Neoadjuvant Chemotherapy for Advanced-Stage Ovarian Cancer: Single-Institution Experience.

Authors:  Young Shin Chung; Jung Yun Lee; Hyun Soo Kim; Eun Ji Nam; Sang Wun Kim; Young Tae Kim
Journal:  Yonsei Med J       Date:  2018-10       Impact factor: 2.759

10.  Familial risks of ovarian cancer by age at diagnosis, proband type and histology.

Authors:  Guoqiao Zheng; Hongyao Yu; Anna Kanerva; Asta Försti; Kristina Sundquist; Kari Hemminki
Journal:  PLoS One       Date:  2018-10-03       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.